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verticapy.machine_learning.vertica.tsa.ARMA.set_params

ARMA.set_params(parameters: dict | None = None, **kwargs) → None

Sets the parameters of the model.

Parameters

parameters: dict, optional

New parameters.

**kwargs

New parameters can also be passed as arguments, Example: set_params(param1 = val1, param2 = val2)

Examples

Let’s import the model:

from verticapy.machine_learning.vertica import LinearRegression

Then we can create the model:

model = LinearRegression(
    tol = 1e-6,
    max_iter = 100,
    solver = 'newton',
    fit_intercept = True,
)

We can easily get the model parameters:

model.get_params()
Out[62]: {'tol': 1e-06, 'max_iter': 100, 'solver': 'newton', 'fit_intercept': True}

Let’s change some of the parameter.

model.set_params(
    solver = 'bfgs',
    max_iter = 200,
)

The parameters have changed:

model.get_params()
Out[64]: {'tol': 1e-06, 'max_iter': 200, 'solver': 'bfgs', 'fit_intercept': True}

Important

For this example, a specific model is utilized, and it may not correspond exactly to the model you are working with. To see a comprehensive example specific to your class of interest, please refer to that particular class.